Cristina Nader Vasconcelos

Computer Vision and Pattern Recognition · 2020–2023

A researcher in the Science corpus: 2 papers; trusts 36 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 83 citations into it
• Artificial Intelligence — 78 citations into it
• Evaluation & Benchmarks — 26 citations into it
• Optimization & Training — 10 citations into it

Whom Cristina Nader Vasconcelos trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Kaiming He
2. Dan Hendrycks
3. Richard Zhang
4. Alex Krizhevsky
5. Geoffrey E. Hinton
6. Oriol Vinyals
7. Ross B. Girshick
8. Barret Zoph
9. Yoshua Bengio
10. Diederik P. Kingma

Who trusts Cristina Nader Vasconcelos overall

1. Eduardo Fonseca
2. Andrés Ferraro

Papers from Cristina Nader Vasconcelos's perspective

Ordered by how strongly the researchers Cristina Nader Vasconcelos trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Long Short-Term Memory
6. ImageNet Large Scale Visual Recognition Challenge
7. Gradient-based learning applied to document recognition
8. Attention is All you Need (Neural Information Processing Systems)
9. Going deeper with convolutions
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Scaling Vision Transformers to 22 Billion Parameters (2023) — 911 citations
• An Effective Anti-Aliasing Approach for Residual Networks (2020) — 36 citations